稀疏随机图中的最大匹配:Karp-Sipser重访

Jonathan Aronson, A. Frieze, B. Pittel
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引用次数: 130

摘要

我们研究了一种简单贪婪算法在稀疏随机图Gn, c/n中寻找匹配的平均性能,其中c>0是常数。该算法首先由Karp和Sipser提出[Proceedings of The 22nd Annual IEEE Symposium on Foundations of Computing, 1981, pp. 364-375]。我们对算法产生的误差给出了显著改进的估计。对于次临界情况,当ce以高概率出现时,算法产生的匹配值在最大大小的n1/5+o(1)以内。©1998 John Wiley & Sons, Inc随机结构。Alg。中华医学杂志,12,111-177,1998
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum matchings in sparse random graphs: Karp-Sipser revisited
We study the average performance of a simple greedy algorithm for finding a matching in a sparse random graph Gn, c/n, where c>0 is constant. The algorithm was first proposed by Karp and Sipser [Proceedings of the Twenty-Second Annual IEEE Symposium on Foundations of Computing, 1981, pp. 364–375]. We give significantly improved estimates of the errors made by the algorithm. For the subcritical case where c e then with high probability the algorithm produces a matching which is within n1/5+o(1) of maximum size. © 1998 John Wiley & Sons, Inc. Random Struct. Alg., 12, 111–177, 1998
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